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MiniBatchDictionaryLearning — scikit-learn 1.7....
Gallery examples: Faces dataset decompositions Image denoising using dictionary learningscikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
SequentialFeatureSelector — scikit-learn 1.7.0 ...
Gallery examples: Model-based and sequential feature selection Release Highlights for scikit-learn 0.24scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
MiniBatchSparsePCA — scikit-learn 1.7.0 documen...
Gallery examples: Faces dataset decompositionsscikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html -
SparseCoder — scikit-learn 1.7.0 documentation
Gallery examples: Sparse coding with a precomputed dictionaryscikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
PowerTransformer — scikit-learn 1.7.0 documenta...
Gallery examples: Compare the effect of different scalers on data with outliers Map data to a normal distributionscikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
LabelSpreading — scikit-learn 1.7.0 documentation
Gallery examples: Label Propagation digits: Demonstrating performance Label Propagation digits: Active learning Label Propagation circles: Learning a complex structure Semi-supervised Classificatio...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
KNNImputer — scikit-learn 1.7.0 documentation
Gallery examples: Imputing missing values before building an estimator Release Highlights for scikit-learn 0.22scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html -
SpectralEmbedding — scikit-learn 1.7.0 document...
Gallery examples: Various Agglomerative Clustering on a 2D embedding of digits Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Man...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
WhiteKernel — scikit-learn 1.7.0 documentation
Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Ability of Gaussian process regress...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html -
KernelPCA — scikit-learn 1.7.0 documentation
Gallery examples: Image denoising using kernel PCA Kernel PCAscikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html